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Corporate statistics: The missing numbers

Author

Listed:
  • N. Shanta

    (Centre for Development Studies)

  • J. Dennis Raja Kumar

    (Centre for Development Studies)

Abstract

This paper reviews the current status of Indian corporate statistics. It makes a critical evaluation of the various sources of data such as ASI,RBI, ICICI, IDBI, BSE, CMIE and DCA in terms of comprehensiveness, reliability and timeliness. In this process it identifies the gaps in the data and gives suggestions for improvement taking into account the increasing demand for data following globalisation. It emphasizes the role of firm level / industry-wise / state-wise / size-wise data on a census basis.

Suggested Citation

  • N. Shanta & J. Dennis Raja Kumar, 1999. "Corporate statistics: The missing numbers," Centre for Development Studies, Trivendrum Working Papers 295, Centre for Development Studies, Trivendrum, India.
    • Handle: RePEc:ind:cdswpp:295
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    File URL: http://www.cds.edu/wp-content/uploads/2012/10/wp295.pdf
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    References listed on IDEAS

    as
    1. Basant, Rakesh & Fikkert, Brian, 1996. "The Effects of R&D, Foreign Technology Purchase, and Domestic and International Spillovers on Productivity in Indian Firms," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 187-199, May.
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    Cited by:

    1. Ghosh, Saibal, 2008. "Does divestment matter for firm performance?: Evidence from the Indian experience," Economic Systems, Elsevier, vol. 32(4), pages 372-388, December.
    2. Veeramani C, 2001. "Analysing trade flows and industrial structure of India: The question of data harmonisation," Centre for Development Studies, Trivendrum Working Papers 321, Centre for Development Studies, Trivendrum, India.
    3. N. Vijayamohanan Pillai, 2004. "CES function, generalised mean and human poverty index: Exploring some links," Centre for Development Studies, Trivendrum Working Papers 360, Centre for Development Studies, Trivendrum, India.

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    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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